Paper
22 November 2022 Analysis of coal price forecasting based on time series algorithm
Yao Zhao, Juanjuan Gu, Wenwen Xu, MingHang Yuan
Author Affiliations +
Proceedings Volume 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022); 124751Z (2022) https://doi.org/10.1117/12.2660279
Event: Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 2022, Hulun Buir, China
Abstract
As a basic source of energy in China, the rise in the price of coal has a bearing on the development of the Chinese economy. In view of the influencing factors of thermal coal price, the prophet algorithm and long term memory algorithm are proposed to predict the price of thermal coal. Based on the characteristics and principles of these two algorithms, and according to the characteristics of thermal coal, the parameters suitable for the experimental object are selected. Through the prediction of the historical data by using these two algorithms, analyzing and comparing the error of the prediction results with the actual value. Following this, a time series algorithm more suitable for thermal coal is obtained.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yao Zhao, Juanjuan Gu, Wenwen Xu, and MingHang Yuan "Analysis of coal price forecasting based on time series algorithm", Proc. SPIE 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 124751Z (22 November 2022); https://doi.org/10.1117/12.2660279
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Data modeling

Error analysis

Evolutionary algorithms

Control systems

Analytical research

Chemical analysis

Neural networks

Back to Top